Testing Api For Broken Object Level AuthorizationSAFE
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·
Overview
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·
6c59587be632OBSERVED · 2026-10-07What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: testing-api-for-broken-object-level-authorization
description: 'Tests REST and GraphQL APIs for Broken Object Level Authorization (BOLA/IDOR,
OWASP API1:2023) by intercepting API calls, identifying object ID parameters (numeric
IDs, UUIDs, slugs), and systematically substituting IDs belonging to other users
to check whether the server enforces per-object authorization. Use when asked to
test BOLA or IDOR in an API, verify object-level authorization, or assess an API
for access control bypass.
'
domain: cybersecurity
subdomain: api-security
tags:
- api-security
- owasp
- bola
- idor
- authorization
- rest-security
version: 1.0.0
author: mahipal
license: Apache-2.0
nist_csf:
- PR.PS-01
- ID.RA-01
- PR.DS-10
- DE.CM-01
mitre_attack:
- T1190
- T1059.007
- T1552.001
- T1027
- T1070
---
# Testing API for Broken Object Level Authorization
## When to Use
- Assessing REST or GraphQL APIs that use object identifiers in URL paths, query parameters, or request bodies
- Performing OWASP API Security Top 10 assessments where API1:2023 (BOLA) must be tested
- Testing multi-tenant SaaS applications where users from different tenants should not access each other's data
- Validating that API endpoints enforce per-object authorization checks beyond just authentication
- Evaluating APIs after new endpoints are added to ensure authorization middleware is applied consistently
**Do not use** without written authorization from the API owner. BOLA testing involves accessing or attempting to access other users' data, which requires explicit permission.
## Prerequisites
- Written authorization specifying the target API endpoints and scope of testing
- At least two test accounts with different privilege levels and distinct data sets
- Burp Suite Professional or OWASP ZAP configured as an intercepting proxy
- Authentication tokens (JWT, session cookies, API keys) for each test account
- API documentation (OpenAPI/Swagger spec) or access to enumerate endpoints
- Python 3.10+ with `requests` library for scripted testing
- Autorize Burp extension installed for automated BOLA detection
## Workflow
### Step 1: API Endpoint Discovery and Object ID Mapping
Enumerate all API endpoints and identify parameters that reference objects:
**From OpenAPI/Swagger Specification:**
```bash
# Download and parse the OpenAPI spec
curl -s https://target-api.example.com/api/docs/swagger.json | python3 -m json.tool
# Extract all endpoints with path parameters
curl -s https://target-api.example.com/api/docs/swagger.json | \
python3 -c "
import json, sys
spec = json.load(sys.stdin)
for path, methods in spec.get('paths', {}).items():
for method, details in methods.items():
if method in ('get','post','put','patch','delete'):
params = [p['name'] for p in details.get('parameters',[]) if p.get('in') in ('path','query')]
if params:
print(f'{method.upper()} {path} -> params: {params}')
"
```
**From Burp Suite Traffic:**
1. Browse the application as User A, exercising all features that involve data creation and retrieval
2. In Burp, go to Target > Site Map and filter for API paths (e.g., `/api/v1/`, `/graphql`)
3. Look for patterns: `/api/v1/users/{id}`, `/api/v1/orders/{order_id}`, `/api/v1/documents/{doc_uuid}`
4. Note the object ID format: sequential integers (predictable), UUIDs (less predictable), or encoded values
**Classify Object ID Types:**
| ID Type | Example | Predictability | BOLA Risk |
|---------|---------|---------------|-----------|
| Sequential Integer | `/orders/1042` | High - increment/decrement | Critical |
| UUID v4 | `/orders/550e8400-e29b-41d4-a716-446655440000` | Low - random | Medium (if leaked) |
| Encoded/Hashed | `/orders/base64encodedvalue` | Medium - decode and predict | High |
| Composite | `/users/42/orders/1042` | High - multiple IDs to swap | Critical |
| Slug | `/profiles/john-doe` | Medium - guess usernames | High |
### Step 2: Baseline Request Capture with Authenticated User
Capture legitimate requests for User A and User B:
```python
import requests
BASE_URL = "https://target-api.example.com/api/v1"
# User A credentials
user_a_token = "Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9..."
user_a_headers = {"Authorization": user_a_token, "Content-Type": "application/json"}
# User B credentials
user_b_token = "Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9..."
user_b_headers = {"Authorization": user_b_token, "Content-Type": "application/json"}
# Step 1: Identify User A's objects
user_a_profile = requests.get(f"{BASE_URL}/users/me", headers=user_a_headers)
user_a_id = user_a_profile.json()["id"] # e.g., 1001
user_a_orders = requests.get(f"{BASE_URL}/users/{user_a_id}/orders", headers=user_a_headers)
user_a_order_ids = [o["id"] for o in user_a_orders.json()["orders"]] # e.g., [5001, 5002]
# Step 2: Identify User B's objects
user_b_profile = requests.get(f"{BASE_URL}/users/me", headers=user_b_headers)
user_b_id = user_b_profile.json()["id"] # e.g., 1002
user_b_orders = requests.get(f"{BASE_URL}/users/{user_b_id}/orders", headers=user_b_headers)
user_b_order_ids = [o["id"] for o in user_b_orders.json()["orders"]] # e.g., [5003, 5004]
print(f"User A (ID: {user_a_id}): Orders {user_a_order_ids}")
print(f"User B (ID: {user_b_id}): Orders {user_b_order_ids}")
```
### Step 3: BOLA Testing - Horizontal Privilege Escalation
Attempt to access User B's objects using User A's authentication:
```python
import json
results = []
# Test 1: Access User B's profile with User A's token
resp = requests.get(f"{BASE_URL}/users/{user_b_id}", headers=user_a_headers)
results.append({
"test": "Access other user profile",
"endpoint": f"GET /users/{user_b_id}",
"auth": "User A",
"status": resp.status_code,
"vulnerable": resp.status_code == 200,
"data_leaked": list(resp.json().keys()) if resp.status_code == 200 else None
})
# Test 2: Access User B's orders with User A's token
for order_id in user_b_order_ids:
resp = rTrust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
6c59587be632full audit observations/trust-audit/skill/mukul975__testing-api-for-broken-object-level-authorization.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-07 | 6c59587be632 | SAFE | B | 89 | first audit |
Questions
What does the Testing Api For Broken Object Level Authorization skill do?
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·
Is Testing Api For Broken Object Level Authorization safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Testing Api For Broken Object Level Authorization access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (6c59587be632), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.